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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

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樓主: Strategy
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發(fā)表于 2025-3-28 17:45:37 | 只看該作者
https://doi.org/10.1007/978-3-031-43987-2applied computing; life and medical sciences; computational biology; computer vision; computing methodol
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發(fā)表于 2025-3-28 20:38:54 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629224.jpg
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發(fā)表于 2025-3-28 23:31:56 | 只看該作者
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發(fā)表于 2025-3-29 06:11:01 | 只看該作者
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023978-3-031-43987-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-29 10:25:28 | 只看該作者
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發(fā)表于 2025-3-29 15:24:38 | 只看該作者
Jann-Ole Henningson,Marion Semmler,Michael D?llinger,Marc Stamminger
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發(fā)表于 2025-3-29 17:30:44 | 只看該作者
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發(fā)表于 2025-3-29 23:24:23 | 只看該作者
Combat Long-Tails in?Medical Classification with?Relation-Aware Consistency and?Virtual Features Comdical image classification in two stages. In the first stage, we devise a Multi-view Relation-aware Consistency (MRC) for representation learning, which provides the training of encoders with unbiased guidance in addition to the imbalanced supervision. In the second stage, to produce an impartial cl
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發(fā)表于 2025-3-30 02:20:29 | 只看該作者
Towards Novel Class Discovery: A Study in?Novel Skin Lesions Clusteringd by a self-labeling strategy. Finally, we further refine the pseudo label by aggregating neighborhood information through local sample similarity to improve the clustering performance of the model for unknown categories. We conducted extensive experiments on the dermatology dataset ISIC 2019, and t
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發(fā)表于 2025-3-30 07:36:12 | 只看該作者
Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopyprediction of sub-pixel accurate 2D point locations through weighted least squares in a fully-differentiable manner with negligible computational cost. Lastly, we expand the publicly available Human Laser Endoscopic dataset to also include segmentations of the human vocal folds itself. The source co
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